Build a MemGPT Discord Agent in LangGraph Cloud

In this tutorial, we create a MemGPT-inspired Discord agent using LangGraph Cloud, enabling chatbots to remember user interactions across conversations for a more personalized experience. Key components of the MemGPT agent: 1. Core memories: Persistent user information 2. Recall (semantic memories): Context-based retrieval 3. Management via tool use We'll cover: Implementing the agent graph Deploying the agent on LangGraph Cloud Creating the Discord bot Writing tests and evaluations for the agent By the end of this tutorial, you'll understand how to build, deploy, and evaluate a Discord bot with long-term memory capabilities. Chapters: 00:00 MemGPT & LangGraph Cloud 00:36 Agent Overview 01:19 Part 1: Designing the agent 02:05 Forking and Cloning the Repository 02:17 Understanding the Repo Structure 03:05 Code Review: Defining Memory Management Tools 07:15 Part 1b: Deploying on LangGraph Cloud 08:59 Interacting with the Agent in LangGraph Cloud Studio 09:47 Part 2: Deploying a Discord Server 10:31 Setting Up a Discord Bot 12:19 Testing the Discord Bot 14:14 Setting Up Google Cloud Run 15:12 Part 3: Evaluating and Testing the Agent 17:14 Conclusion and Next Steps Additional Resources: GitHub Repository: https://github.com/langchain-ai/lang-... LangGraph Cloud Documentation: https://langchain-ai.github.io/langgr... MemGPT Paper: https://arxiv.org/abs/2310.08560 Presenter: Will Hinthorn (  / whinthorn  )